Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems
ACM Transactions on Information Systems (TOIS), pp. 322019.
Recommender systems inward aggregation knowledge graph outward propagation
To address the sparsity and cold-start problem of collaborative filtering, researchers usually make use of side information, such as social networks or item attributes, to improve the performance of recommendation. In this article, we consider the knowledge graph (KG) as the source of side information. To address the limitations of existi...More
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